2.2k citations
- Centre National de la Recherche ScientifiqueFR645 papers
- Sorbonne UniversitéFR226 papers
- Université Paris CitéFR137 papers
- Lyon 1 UniversitéFR113 papers
- Université Paris Sciences et LettresFR107 papers
- Assistance Publique – Hôpitaux de ParisFR103 papers
- Institut national de recherche en sciences et technologies du numériqueFR79 papers
- Université Paris-SaclayFR79 papers
- Institut du CerveauFR75 papers
- Université Pierre-et-Marie-CurieFR71 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR70 papers
- Institut CurieFR68 papers
90 papers · 1 filter
Imaging of ultrasound specularity at cortical bone interfaces to detect unbalanced remodeling: A preliminary study
Amadou S. Dia, Salomé Vignat, Guillaume Renaud +1
The region near the interface between cortical bone and the medullary cavity (the endosteal surface) is of particular interest for the early detection of osteoporosis. This region…
Millennium Pathways for Tractography: 40 grand challenges to shape the future of tractography
Maxime Descoteaux, Kurt G. Schilling, Dogu Baran Aydogan +44
In the spirit of the historic Millennium Prize Problems that heralded a new era for mathematics, the newly formed International Society for Tractography (IST) has launched the Mill…
Revisiting XDoppler estimator for high spatiotemporal resolution volumetric axial velocity measurement using row-column arrays
Henri Leroy, Adrien Bertolo, Guillaume Goudot +3
Accurate volumetric velocity estimation is crucial in ultrasound imaging for both diagnostic and therapeutic applications. Traditional ultrasound systems, though effective for two-…
Joint Reconstruction of Activity and Attenuation in PET by Diffusion Posterior Sampling in Wavelet Coefficient Space
Clémentine Phung-Ngoc, Alexandre Bousse, Antoine De Paepe +6
Attenuation correction (AC) is necessary for accurate activity quantification in positron emission tomography (PET). Conventional reconstruction methods typically rely on attenuati…
Machine Learning-Based Modeling of the Anode Heel Effect in X-ray Beam Monte Carlo Simulations
Hussein Harb, Didier Benoit, Axel Rannou +4
To develop a machine learning-based framework for accurately modeling the anode heel effect in Monte Carlo simulations of X-ray imaging systems, enabling realistic beam intensity p…
Adaptive Diffusion Models for Sparse-View Motion-Corrected Head Cone-beam CT
Antoine De Paepe, Alexandre Bousse, Clémentine Phung-Ngoc +2
Cone-beam computed tomography (CBCT) is an imaging modality widely used in head and neck diagnostics due to its accessibility and lower radiation dose. However, its relatively long…